Biocview "FeatureExtraction"

A collection of gene feature selection and clustering analysis algorithms
A Hybrid Feature Selection method for gene expression data
A Hybrid Feature Selection method for gene expression data
Analysis of Brain Imaging Data
A package for nonlinear dimension reduction with Isomap and LLE.
A package for nonlinear dimension reduction with Isomap and LLE.
A package to extract spatial features based on multiplex IF images
A package to extract spatial features based on multiplex IF images
A package to extract spatial features based on multiplex IF images
A suite of functions to facilitate zFPKM transformations
A suite of functions to facilitate zFPKM transformations
A suite of functions to facilitate zFPKM transformations
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
A tool for quantification of associations between genotypes and phenotypes with statistical learning techniques such as random forests and support vector machines as well as with Bayesian inference using hierarchical models
Classification and Feature Selection for 'Omics' Datasets
Classification and Feature Selection for 'Omics' Datasets
Classification and Feature Selection for 'Omics' Datasets
Clustering of (epigenetic) DNA methylation data using a variational Bayes NMF algorithm
Comprehensive Pipeline for Analyzing and Visualizing Array-Based CGH Data
Comprehensive Pipeline for Analyzing and Visualizing Array-Based CGH Data
Comprehensive Pipeline for Analyzing and Visualizing Array-Based CGH Data
Computational pipeline for computing probability of modification from structure probing experiment data
Computational pipeline for computing probability of modification from structure probing experiment data
Computational pipeline for computing probability of modification from structure probing experiment data
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Fit transcriptional regulatory networks using gene expression, priors, machine learning
Generating Various Molecular Representations for Chemicals, Proteins, DNAs/RNAs and Their Interactions
Generating Various Molecular Representations for Chemicals, Proteins, DNAs/RNAs and Their Interactions
Generating Various Molecular Representations for Chemicals, Proteins, DNAs/RNAs and Their Interactions
GWAS Incorporating Networks
Hits Selection for Synthetic Lethal RNAi Screen Data
Hits Selection for Synthetic Lethal RNAi Screen Data
interactive SingleCell/Summarized Experiment Explorer
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Model higher-order methylation profiles
Model higher-order methylation profiles
Model higher-order methylation profiles
Model higher-order methylation profiles
Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery
Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery
Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles
Network-Regularized Regression Models
Signature discovery from omics data
Signature discovery from omics data
Summarize, Analyze and Visualize MAF Files
Summarize, Analyze and Visualize MAF Files
Summarize, Analyze and Visualize MAF Files
Tools for region- and process-centric analyses of multiple assay types